#计算机科学#Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
翻译 - Everything about Transfer Learning and Domain Adaptation--迁移学习
Automated Machine Learning with scikit-learn
翻译 - 使用scikit-learn进行自动化机器学习
A PyTorch Library for Meta-learning Research
翻译 - PyTorch研究人员元学习框架
#计算机科学#Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
#计算机科学#FSL-Mate: A collection of resources for few-shot learning (FSL).
#计算机科学#Implementation of papers in 100 lines of code.
#计算机科学#Repository for few-shot learning machine learning projects
#计算机科学#Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
#Awesome#Collection for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
翻译 - LibFewShot：用于少量学习的综合库。
#Awesome#A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hype...
#计算机科学#A dataset of datasets for learning to learn from few examples
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
#计算机科学#Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers,...
#计算机科学#All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
#计算机科学#Awesome Multitask Learning Resources
#计算机科学#Manipulating Python Programs
#计算机科学#TorchOpt is an efficient library for differentiable optimization built upon PyTorch.